dnn(test): OpenVINO 2019R2

modules/dnn/perf/perf_net.cpp

@@ -142,6 +142,8 @@ PERF_TEST_P_(DNNTestNetwork, MobileNet_SSD_v1_TensorFlow)
 {
     if (backend == DNN_BACKEND_HALIDE)
         throw SkipTestException("");
+    if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD)
+        throw SkipTestException("");
     processNet("dnn/ssd_mobilenet_v1_coco_2017_11_17.pb", "ssd_mobilenet_v1_coco_2017_11_17.pbtxt", "",
             Mat(cv::Size(300, 300), CV_32FC3));
 }
@@ -150,6 +152,8 @@ PERF_TEST_P_(DNNTestNetwork, MobileNet_SSD_v2_TensorFlow)
 {
     if (backend == DNN_BACKEND_HALIDE)
         throw SkipTestException("");
+    if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD)
+        throw SkipTestException("");
     processNet("dnn/ssd_mobilenet_v2_coco_2018_03_29.pb", "ssd_mobilenet_v2_coco_2018_03_29.pbtxt", "",
             Mat(cv::Size(300, 300), CV_32FC3));
 }
@@ -190,6 +194,11 @@ PERF_TEST_P_(DNNTestNetwork, Inception_v2_SSD_TensorFlow)
             && getInferenceEngineVPUType() == CV_DNN_INFERENCE_ENGINE_VPU_TYPE_MYRIAD_X)
         throw SkipTestException("Test is disabled for MyriadX");
 #endif
+#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_EQ(2019020000)
+    if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD)
+        throw SkipTestException("Test is disabled for Myriad in OpenVINO 2019R2");
+#endif
+
     processNet("dnn/ssd_inception_v2_coco_2017_11_17.pb", "ssd_inception_v2_coco_2017_11_17.pbtxt", "",
             Mat(cv::Size(300, 300), CV_32FC3));
 }
@@ -223,6 +232,10 @@ PERF_TEST_P_(DNNTestNetwork, Inception_v2_Faster_RCNN)
 #if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_EQ(2019010000)
     if (backend == DNN_BACKEND_INFERENCE_ENGINE)
         throw SkipTestException("Test is disabled in OpenVINO 2019R1");
+#endif
+#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_EQ(2019020000)
+    if (backend == DNN_BACKEND_INFERENCE_ENGINE)
+        throw SkipTestException("Test is disabled in OpenVINO 2019R2");
 #endif
     if (backend == DNN_BACKEND_HALIDE ||
         (backend == DNN_BACKEND_INFERENCE_ENGINE && target != DNN_TARGET_CPU) ||

modules/dnn/test/test_backends.cpp

@@ -205,6 +205,11 @@ TEST_P(DNNTestNetwork, MobileNet_SSD_v1_TensorFlow)
     applyTestTag(target == DNN_TARGET_CPU ? "" : CV_TEST_TAG_MEMORY_512MB);
     if (backend == DNN_BACKEND_HALIDE)
         applyTestTag(CV_TEST_TAG_DNN_SKIP_HALIDE);
+#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_EQ(2019020000)
+    if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD)
+        applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD, CV_TEST_TAG_DNN_SKIP_IE, CV_TEST_TAG_DNN_SKIP_IE_2019R2);
+#endif
+
     Mat sample = imread(findDataFile("dnn/street.png"));
     Mat inp = blobFromImage(sample, 1.0f, Size(300, 300), Scalar(), false);
     float l1 = (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD) ? 0.095 : 0.0;
@@ -224,6 +229,11 @@ TEST_P(DNNTestNetwork, MobileNet_SSD_v1_TensorFlow_Different_Width_Height)
             && getInferenceEngineVPUType() == CV_DNN_INFERENCE_ENGINE_VPU_TYPE_MYRIAD_X)
         applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD_X);
 #endif
+#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_EQ(2019020000)
+    if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD)
+        applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD, CV_TEST_TAG_DNN_SKIP_IE, CV_TEST_TAG_DNN_SKIP_IE_2019R2);
+#endif
+
     Mat sample = imread(findDataFile("dnn/street.png"));
     Mat inp = blobFromImage(sample, 1.0f, Size(300, 560), Scalar(), false);
     float l1 = (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD) ? 0.012 : 0.0;
@@ -238,6 +248,11 @@ TEST_P(DNNTestNetwork, MobileNet_SSD_v2_TensorFlow)
     applyTestTag(target == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_512MB : CV_TEST_TAG_MEMORY_1GB);
     if (backend == DNN_BACKEND_HALIDE)
         applyTestTag(CV_TEST_TAG_DNN_SKIP_HALIDE);
+#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_EQ(2019020000)
+    if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD)
+        applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD, CV_TEST_TAG_DNN_SKIP_IE, CV_TEST_TAG_DNN_SKIP_IE_2019R2);
+#endif
+
     Mat sample = imread(findDataFile("dnn/street.png"));
     Mat inp = blobFromImage(sample, 1.0f, Size(300, 300), Scalar(), false);
     float l1 = (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD) ? 0.013 : 2e-5;
@@ -355,6 +370,10 @@ TEST_P(DNNTestNetwork, Inception_v2_SSD_TensorFlow)
     if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD
             && getInferenceEngineVPUType() == CV_DNN_INFERENCE_ENGINE_VPU_TYPE_MYRIAD_X)
         applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD_X);
+#endif
+#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_EQ(2019020000)
+    if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD)
+        applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD, CV_TEST_TAG_DNN_SKIP_IE, CV_TEST_TAG_DNN_SKIP_IE_2019R2);
 #endif
     if (backend == DNN_BACKEND_HALIDE)
         applyTestTag(CV_TEST_TAG_DNN_SKIP_HALIDE);

modules/dnn/test/test_common.hpp

@@ -18,6 +18,7 @@
 #define CV_TEST_TAG_DNN_SKIP_IE_2018R5           "dnn_skip_ie_2018r5"
 #define CV_TEST_TAG_DNN_SKIP_IE_2019R1           "dnn_skip_ie_2019r1"
 #define CV_TEST_TAG_DNN_SKIP_IE_2019R1_1         "dnn_skip_ie_2019r1_1"
+#define CV_TEST_TAG_DNN_SKIP_IE_2019R2           "dnn_skip_ie_2019r2"
 #define CV_TEST_TAG_DNN_SKIP_IE_OPENCL           "dnn_skip_ie_ocl"
 #define CV_TEST_TAG_DNN_SKIP_IE_OPENCL_FP16      "dnn_skip_ie_ocl_fp16"
 #define CV_TEST_TAG_DNN_SKIP_IE_MYRIAD_2         "dnn_skip_ie_myriad2"

modules/dnn/test/test_common.impl.hpp

@@ -310,8 +310,11 @@ void initDNNTests()
         CV_TEST_TAG_DNN_SKIP_IE_2018R5,
 #elif INF_ENGINE_VER_MAJOR_EQ(2019010000)
         CV_TEST_TAG_DNN_SKIP_IE_2019R1,
-#elif INF_ENGINE_VER_MAJOR_EQ(2019010100)
-        CV_TEST_TAG_DNN_SKIP_IE_2019R1_1
+# if INF_ENGINE_RELEASE == 2019010100
+        CV_TEST_TAG_DNN_SKIP_IE_2019R1_1,
+# endif
+#elif INF_ENGINE_VER_MAJOR_EQ(2019020000)
+        CV_TEST_TAG_DNN_SKIP_IE_2019R2,
 #endif
         CV_TEST_TAG_DNN_SKIP_IE
     );

modules/dnn/test/test_ie_models.cpp

@@ -9,10 +9,32 @@
 #ifdef HAVE_INF_ENGINE
 #include <opencv2/core/utils/filesystem.hpp>
 
+
+//
+// Synchronize headers include statements with src/op_inf_engine.hpp
+//
+//#define INFERENCE_ENGINE_DEPRECATED  // turn off deprecation warnings from IE
+//there is no way to suppress warnigns from IE only at this moment, so we are forced to suppress warnings globally
+#if defined(__GNUC__)
+#pragma GCC diagnostic ignored "-Wdeprecated-declarations"
+#endif
+#ifdef _MSC_VER
+#pragma warning(disable: 4996)  // was declared deprecated
+#endif
+
+#if defined(__GNUC__)
+#pragma GCC visibility push(default)
+#endif
+
 #include <inference_engine.hpp>
 #include <ie_icnn_network.hpp>
 #include <ie_extension.h>
 
+#if defined(__GNUC__)
+#pragma GCC visibility pop
+#endif
+
+
 namespace opencv_test { namespace {
 
 static void initDLDTDataPath()

modules/dnn/test/test_tf_importer.cpp

@@ -357,11 +357,11 @@ TEST_P(Test_TensorFlow_nets, MobileNet_SSD)
 #if defined(INF_ENGINE_RELEASE)
     if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD)
     {
-#if INF_ENGINE_VER_MAJOR_GE(2019010000)
+#if INF_ENGINE_VER_MAJOR_EQ(2019010000)
         if (getInferenceEngineVPUType() == CV_DNN_INFERENCE_ENGINE_VPU_TYPE_MYRIAD_X)
             applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD_X);
 #else
-            applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD);
+        applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD);
 #endif
     }
 #endif
@@ -395,12 +395,16 @@ TEST_P(Test_TensorFlow_nets, MobileNet_SSD)
 TEST_P(Test_TensorFlow_nets, Inception_v2_SSD)
 {
     applyTestTag(target == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_512MB : CV_TEST_TAG_MEMORY_1GB);
-
 #if defined(INF_ENGINE_RELEASE)
-    if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD
-            && getInferenceEngineVPUType() == CV_DNN_INFERENCE_ENGINE_VPU_TYPE_MYRIAD_X
-    )
-        applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD_X);
+    if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD)
+    {
+#if INF_ENGINE_VER_MAJOR_LE(2019010000)
+        if (getInferenceEngineVPUType() == CV_DNN_INFERENCE_ENGINE_VPU_TYPE_MYRIAD_X)
+            applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD_X);
+#else
+        applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD);
+#endif
+    }
 #endif
 
     checkBackend();
@@ -432,6 +436,11 @@ TEST_P(Test_TensorFlow_nets, Inception_v2_SSD)
 
 TEST_P(Test_TensorFlow_nets, MobileNet_v1_SSD)
 {
+#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_EQ(2019020000)
+    if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD)
+        applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD, CV_TEST_TAG_DNN_SKIP_IE, CV_TEST_TAG_DNN_SKIP_IE_2019R2);
+#endif
+
     checkBackend();
     std::string proto = findDataFile("dnn/ssd_mobilenet_v1_coco_2017_11_17.pbtxt");
     std::string model = findDataFile("dnn/ssd_mobilenet_v1_coco_2017_11_17.pb", false);
@@ -506,6 +515,10 @@ TEST_P(Test_TensorFlow_nets, MobileNet_v1_SSD_PPN)
     if (backend == DNN_BACKEND_INFERENCE_ENGINE && (target == DNN_TARGET_OPENCL || target == DNN_TARGET_OPENCL_FP16))
         applyTestTag(target == DNN_TARGET_OPENCL ? CV_TEST_TAG_DNN_SKIP_IE_OPENCL : CV_TEST_TAG_DNN_SKIP_IE_OPENCL_FP16);
 #endif
+#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_EQ(2019020000)
+    if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD)
+        applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD, CV_TEST_TAG_DNN_SKIP_IE, CV_TEST_TAG_DNN_SKIP_IE_2019R2);
+#endif
 
     checkBackend();
     std::string proto = findDataFile("dnn/ssd_mobilenet_v1_ppn_coco.pbtxt");